Build rule-based exposure to climate and electrification themes with automated execution on Coinrule, including DCA, rebalancing and risk controls.
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Instead of reacting to headlines, Energy transition investing can run as a repeatable process with Coinrule. Set rules that buy, trim or hedge based on price, indicators and time. Example: buy 2% of USDT when RSI is below 30 on 4-hour candles, take profit at +8%, then trail by 3%. Connect to Binance, Coinbase, Bybit or OKX via API keys while keeping funds on the exchange.
Traders often express the idea through a basket of liquid assets and a clear schedule. Split capital across majors like BTC and ETH, then add a few tokens tied to infrastructure or carbon markets. Automate limits such as max 25% per asset and max 60% total risk-on exposure. Every action is logged so you can review what worked and what did not.
When narratives rotate, a single indicator rarely tells the whole story. Combine a long-term trend filter like MA200 with momentum checks like Supertrend, then add a volatility gate to avoid whipsaws. Example: only buy when price is above MA200, Supertrend is green and the 24-hour range is under 6%. If conditions break, shift to stablecoins or reduce size automatically.
Theme-Based Portfolio Automation
Users who prefer steady accumulation can schedule buys weekly or monthly and still add safeguards. Example: invest $500 per month as four $125 buys, but skip a buy if price is 12% above the 30-day moving average. Add a dip booster that buys an extra 1% if price drops 5% in 24 hours. The plan stays consistent while adapting to extremes.
Risk Controls And Guardrails
Set hard stops, trailing exits and cooldown timers so one bad day does not cascade into repeated entries. Cap daily orders, require confirmation candles and pause all rules if total drawdown hits 10%.
Portfolio Rebalance
Rebalance a basket back to target weights weekly. Sell winners above +6% drift and buy laggards below -6%. Add a max allocation cap per asset to control concentration.
DCA Accumulator
Buy a fixed amount on a schedule, like $50 every Monday. Add a dip trigger to buy 1% extra if price drops 4% in 12 hours. Pause buys when price is 10% above MA50.
Stop Loss and Trailing Take Profit
Enter on a simple trigger, then protect downside with a 3% stop loss. Take profit at +7% and trail by 2% to ride extensions. Useful for higher-volatility tokens.
MA Crossover with Volume Filter
Buy when MA20 crosses above MA50 and volume is above its 20-day average. Exit on the reverse cross or a 5% stop. Helps avoid low-liquidity fakeouts.
Supertrend Momentum
Enter when Supertrend flips green on 4-hour candles. Reduce size if ATR expands above a set threshold. Exit when Supertrend turns red or a trailing stop triggers.
Portfolio Rebalance
Rebalance a basket back to target weights weekly. Sell winners above +6% drift and buy laggards below -6%. Add a max allocation cap per asset to control concentration.
DCA Accumulator
Buy a fixed amount on a schedule, like $50 every Monday. Add a dip trigger to buy 1% extra if price drops 4% in 12 hours. Pause buys when price is 10% above MA50.
Stop Loss and Trailing Take Profit
Enter on a simple trigger, then protect downside with a 3% stop loss. Take profit at +7% and trail by 2% to ride extensions. Useful for higher-volatility tokens.
MA Crossover with Volume Filter
Buy when MA20 crosses above MA50 and volume is above its 20-day average. Exit on the reverse cross or a 5% stop. Helps avoid low-liquidity fakeouts.
Supertrend Momentum
Enter when Supertrend flips green on 4-hour candles. Reduce size if ATR expands above a set threshold. Exit when Supertrend turns red or a trailing stop triggers.
Volatility Regime Switcher
Switch between trend and defensive modes based on volatility. If the 24-hour range exceeds 8%, reduce exposure and raise cash. When volatility normalizes, re-enable trend entries.
Risk-On/Risk-Off Macro Switch
Use BTC trend as a market proxy. If BTC is below MA200, shift the basket toward stablecoins. If BTC recovers above MA200, gradually restore target allocations.
Breakout + Retest
Buy after a breakout above resistance, then wait for a retest within 1.5%. Confirm with a higher low before entry. Exit at a fixed target or on a failed retest.
Bollinger Band Mean Reversion
Buy when price closes below the lower Bollinger Band and RSI is under 35. Sell when price returns to the mid-band. Add a time stop if no rebound occurs in 48 hours.
ADX Trend Strength Filter
Only trade when ADX is above 20 to avoid choppy ranges. Enter on MA alignment and exit when ADX falls below 15. A simple filter for noisy periods.
For multi-venue execution, Coinrule runs the same logic across Binance, Kraken, Coinbase and Hyperliquid. Keep spot rules separate from perps hedges, or mirror signals with different sizes. Use safeguards like minimum order checks and pair availability rules. Everything stays transparent with real-time logs and alerts.
Rather than changing plans mid-trade, treat each rule as a testable hypothesis. Clone a strategy, adjust one variable and compare results over 30 days. For example, keep the same entry but change take profit from 6% to 9% and tighten the trailing stop from 3% to 2%. This workflow helps you improve process without overfitting to one week of price action.
Risk controls include max position size, max number of open trades and exposure by quote currency. If a token becomes illiquid, require a minimum 24-hour volume threshold before any buy. Add a rule that sells 25% if spread widens or if price gaps down more than 7% in one candle. These constraints matter when you trade smaller assets tied to niche narratives.
Templates give you a starting point, but the real advantage is composing your own logic. Combine time windows, indicator confirmations and portfolio actions in one flow. Schedule a weekly rebalance, then layer a daily risk check that pauses everything during extreme volatility. Once stable, export the structure as a reusable playbook.
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After you define the thesis, focus on execution quality. Use limit orders where possible, and cancel and repost if not filled in 60 seconds. Take partial profit at +5%, another at +10%, then trail the rest. Clear exits reduce regret.
When sudden headlines hit, spreads widen and signals can break. Block new entries if the last 15-minute candle range exceeds 2.5%. Require a second confirmation candle before buying to avoid bad fills.
A defensive sleeve can smooth the ride. Shift 10% into stablecoins when BTC closes below MA200, then restore exposure when trend recovers. Park profits automatically after a strong run to keep optionality.
Measure each strategy with simple metrics like win rate, average win, average loss and max drawdown. Compare variants that change only one parameter at a time. Review results weekly, not hourly, to stay objective.
Start with one or two pairs and small sizing. Once execution looks correct, expand the basket and add rebalancing. Keep a kill switch that pauses all rules if something unexpected happens. Gradual rollout beats big launches.
If you want to go deeper, see /automated-trading for rule design patterns and /crypto-trading-bot for risk controls and template ideas. Combine those building blocks into one workflow that matches your time horizon. Keep it simple, then iterate.
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